| Robust and optimal predictive control of the COVID-19 outbreak J Köhler, L Schwenkel, A Koch, J Berberich, P Pauli, F Allgöwer Annual Reviews in Control 51, 525-539, 2021 | 115 | 2021 |
| Training robust neural networks using Lipschitz bounds P Pauli, A Koch, J Berberich, P Kohler, F Allgöwer IEEE Control Systems Letters 6, 121-126, 2021 | 85 | 2021 |
| Linear systems with neural network nonlinearities: Improved stability analysis via acausal Zames-Falb multipliers P Pauli, D Gramlich, J Berberich, F Allgöwer 2021 60th IEEE Conference on Decision and Control (CDC), 3611-3618, 2021 | 15 | 2021 |
| Offset-free setpoint tracking using neural network controllers P Pauli, J Köhler, J Berberich, A Koch, F Allgöwer Learning for Dynamics and Control, 992-1003, 2021 | 12 | 2021 |
| Sharing economy and optimal investment decisions for distributed solar generation R Henriquez-Auba, P Hidalgo-Gonzalez, P Pauli, D Kalathil, DS Callaway, ... Applied Energy 294, 117029, 2021 | 10 | 2021 |
| Smartphone apps for learning progress and course revision P Pauli, A Koch, F Allgöwer IFAC-PapersOnLine 53 (2), 17368-17373, 2020 | 9 | 2020 |
| The sharing economy for residential solar generation R Henriquez-Auba, P Pauli, D Kalathil, DS Callaway, K Poolla 2018 IEEE Conference on Decision and Control (CDC), 7322-7329, 2018 | 9 | 2018 |
| Neural network training under semidefinite constraints P Pauli, N Funcke, D Gramlich, MA Msalmi, F Allgöwer 2022 IEEE 61st Conference on Decision and Control (CDC), 2731-2736, 2022 | 5 | 2022 |
| Robustness analysis and training of recurrent neural networks using dissipativity theory P Pauli, J Berberich, F Allgöwer at-Automatisierungstechnik 70 (8), 730-739, 2022 | 3 | 2022 |
| Facilitating learning progress in a first control course via Matlab apps A Koch, M Lorenzen, P Pauli, F Allgöwer IFAC-PapersOnLine 53 (2), 17356-17361, 2020 | 3 | 2020 |
| Bounding the difference between model predictive control and neural networks R Drummond, S Duncan, M Turner, P Pauli, F Allgower Learning for Dynamics and Control Conference, 817-829, 2022 | 2 | 2022 |
| Optimal Delay Assignment in Delay-Aware Control of Cyber-Physical Systems: A Machine Learning Approach P Pauli, SM Dibaji, AM Annaswamy, A Chakrabortty 2019 IEEE 58th Conference on Decision and Control (CDC), 4583-4588, 2019 | 1 | 2019 |
| Facilitating learning progress in a first control course via Matlab Apps A Romer, M Lorenzen, P Pauli, F Allgöwer Proc. 21st IFAC World Congress. Submitted- preprint online https://www. ist …, 2019 | 1 | 2019 |
| Lipschitz constant estimation for 1D convolutional neural networks P Pauli, D Gramlich, F Allgöwer arXiv preprint arXiv:2211.15253, 2022 | | 2022 |
Frank AllgöwerUniversity of StuttgartVerified email at ist.uni-stuttgart.de
